La recerca s'articula en dues línies amb els objectius que es detallen a continuació.

Percepció i Manipulació:
1. Enllaçar percepció i acció utilitzant mètodes geomètrics i estadístics per al modelatge de l'entorn i del propi robot, per a la planificació de tasques i moviments, i per a l'aprenentatge.
2. Aprofundir en l'aprenentatge per reforçament i en l'aprenentatge per demostració, en particular el "mestratge", com a base per a la interacció entre robots, humans i l'entorn.

Cinemàtica i Disseny de Robots:
3. Trobar mètodes generals i complets per a l'anàlisi i la planificació de moviments lliures de col·lisió de mecanismes.
4. Desenvolupar noves estructures mecàniques, preferentment robots paral·lels i robots basats en estructures "tensegrity".
5. Incrementar i millorar l'expertesa del grup en l'àrea del disseny mecànic

http://futur.upc.edu/ROBiri


La investigación se articula en dos líneas con los objectivos que se detallan a continuación.

Percepción y Manipulación:
1. Enlazar percepción y acción utilitzando métodos geométricos y estadísticos para el modelado del entorno y del propio robot, para la planificación de tareas y movimientos, y para el aprendizaje.
2. Profundizar en el aprendizaje por refuerzo y en el aprendizaje por demostración, en particular el entrenamiento, como base para la interacción entre robots, humanos y el entorno.

Cinemática y Diseño de Robots:
3. Encontrar métodos generales y completos para análisis y planificación de movimientos libres de colisión.
4. Desarrollar nuevas estructuras mecánicas, preferentmente robots paralelos y robots "tensegrity".
5. Incrementar y mejorar la competencia del grupo en el área del diseño mecánico.

http://futur.upc.edu/ROBiri


Research is organized in two lines with the following goals.

Perception and Manipulation:
1. Linking perception and action using geometric and statistic methods for modelling the environment and the robot, for task and motion planning, and for learning.
2. Deepening on reinforcement learning and in learning by demonstration, in particular "coaching", as a basis for the interaction of robots, humans and the environtment.

Kinematics and Robot Design:
3. Finding general and complete methods for the analysis of mechanisms and for planning collision-free motions.
4. Developing new mechanical structures, especially parallel robots and robots based on tensegrity structures.
5. Increasing and enhancing the expertise of the group in the area of mechanical design.

http://futur.upc.edu/ROBiri


Research is organized in two lines with the following goals.

Perception and Manipulation:
1. Linking perception and action using geometric and statistic methods for modelling the environment and the robot, for task and motion planning, and for learning.
2. Deepening on reinforcement learning and in learning by demonstration, in particular "coaching", as a basis for the interaction of robots, humans and the environtment.

Kinematics and Robot Design:
3. Finding general and complete methods for the analysis of mechanisms and for planning collision-free motions.
4. Developing new mechanical structures, especially parallel robots and robots based on tensegrity structures.
5. Increasing and enhancing the expertise of the group in the area of mechanical design.

http://futur.upc.edu/ROBiri

Envíos recientes

  • Teaching a robot the semantics of assembly tasks 

    Savarimuthu, Thiusius Rajeeth; Anders, Buch; Schlette, Christian; Wantia, Nils; Rossmann, Jürgen; Martinez Martinez, David; Alenyà Ribas, Guillem; Torras, Carme; Ales, Ude; Bojan, Nemec; Aljaž, Kramberger; Worgotter, Florentin; Eren Erdal, Aksoy; Papon, Jeremie; Haller, Simon; Piater, Justus; Krüger, Norbert (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Artículo
    Acceso abierto
    We present a three-level cognitive system in a learning by demonstration context. The system allows for learn- ing and transfer on the sensorimotor level as well as the planning level. The fundamentally different data ...
  • A scalable, efficient, and accurate solution to non-rigid structure from motion 

    Agudo Martínez, Antonio; Moreno-Noguer, Francesc (2018)
    Artículo
    Acceso abierto
    Most Non-Rigid Structure from Motion (NRSfM) solutions are based on factorization approaches that allow reconstructing objects parameterized by a sparse set of 3D points. These solutions, however, are low resolution and ...
  • Robot motion adaptation through user intervention and reinforcement learning 

    Jevtic, Aleksandar; Colomé Figueras, Adrià; Alenyà Ribas, Guillem; Torras, Carme (Elsevier, 2018-04-01)
    Artículo
    Acceso abierto
    Assistant robots are designed to perform specific tasks for the user, but their performance is rarely optimal, hence they are required to adapt to user preferences or new task requirements. In the previous work, the potential ...
  • Task-driven active sensing framework applied to leaf probing 

    Foix Salmerón, Sergi; Alenyà Ribas, Guillem; Torras, Carme (2018-04-01)
    Artículo
    Acceso abierto
    This article presents a new method for actively exploring a 3D workspace with the aim of localizing relevant regions for a given task. Our method encodes the exploration route in a multi-layer occupancy grid map. This map, ...
  • Teaching robot's proactive behavior using human assistance 

    Garrell Zulueta, Anais; Villamizar Vergel, Michael Alejandro; Moreno-Noguer, Francesc; Sanfeliu Cortés, Alberto (2017-04-01)
    Artículo
    Acceso abierto
    In recent years, there has been a growing interest in enabling autonomous social robots to interact with people. However, many questions remain unresolved regarding the social capabilities robots should have in order to ...
  • Adaptable multimodal interaction framework for robot-assisted cognitive training 

    Taranovic, Aleksandar; Jevtic, Aleksandar; Torras, Carme (2018)
    Texto en actas de congreso
    Acceso abierto
    The size of the population with cognitive impairment is increasing worldwide, and socially assistive robotics offers a solution to the growing demand for professional carers. Adaptation to users generates more natural, ...
  • Dimensionality reduction for dynamic movement primitives and application to bimanual manipulation of clothes 

    Colomé Figueras, Adrià; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Artículo
    Acceso abierto
    Dynamic Movement Primitives (DMPs) are nowadays widely used as movement parametrization for learning robot trajectories, because of their linearity in the parameters, rescaling robustness and continuity. However, when ...
  • Active garment recognition and target grasping point detection using deep learning 

    Corona Puyane, Enric; Alenyà Ribas, Guillem; Gabas Nova, Antonio; Torras, Carme (2018-02-01)
    Artículo
    Acceso abierto
    Identification and bi-manual handling of deformable objects, like textiles, is one of the most challenging tasks in the field of industrial and service robotics. Their unpredictable shape and pose makes it very difficult ...
  • Learning depth-aware deep representations for robotic perception 

    Porzi, Lorenzo; Rota Bulò, Samuel; Peñate Sánchez, Adrián; Ricci, Elisa; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Artículo
    Acceso abierto
    Exploiting RGB-D data by means of Convolutional Neural Networks (CNNs) is at the core of a number of robotics applications, including object detection, scene semantic segmentation and grasping. Most existing approaches, ...
  • Boosted Random ferns for object detection 

    Villamizar Vergel, Michael Alejandro; Andrade-Cetto, Juan; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (2018-02-01)
    Artículo
    Acceso abierto
    In this paper we introduce the Boosted Random Ferns (BRFs) to rapidly build discriminative classifiers for learning and detecting object categories. At the core of our approach we use standard random ferns, but we introduce ...
  • Multi-modal joint embedding for fashion product retrieval 

    Rubio Romano, Antonio; Yu, Longlong; Simo Serra, Edgar; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Texto en actas de congreso
    Acceso abierto
    Finding a product in the fashion world can be a daunting task. Everyday, e-commerce sites are updating with thousands of images and their associated metadata (textual information), deepening the problem, akin to finding a ...
  • Demonstration-free contextualized probabilistic movement primitives, further enhanced with obstacle avoidance 

    Colomé Figueras, Adrià; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Texto en actas de congreso
    Acceso abierto
    Movement Primitives (MPs) have been widely used over the last years for learning robot motion tasks with direct Policy Search (PS) reinforcement learning. Among them, Probabilistic Movement Primitives (ProMPs) are a kind ...

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